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Article

Risk of Post-Myocardial Infarction Pneumonia with Proton Pump Inhibitors, H2 Receptor Antagonists and Mucoprotective Agents: A Retrospective Nationwide Cohort Study

by
Jimin Jeon
and
Jinkwon Kim
*
Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si 16995, Korea
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2022, 12(1), 78; https://doi.org/10.3390/jpm12010078
Submission received: 9 November 2021 / Revised: 16 December 2021 / Accepted: 30 December 2021 / Published: 9 January 2022
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Abstract

:
Patients with myocardial infarction (MI) are at high risk of developing pneumonia. Proton pump inhibitors (PPI) and H2-receptor antagonists (H2RA) are commonly used acid-suppressive medications to the patients with MI for gastrointestinal (GI) protection, which may increase the risk for pneumonia. We evaluated whether PPI, H2RA, and mucoprotective agents without anti-acid properties increase the risk of post-MI pneumonia. We performed a retrospective cohort study based on the National Health Insurance Service—National Sample Cohort in Korea. The study included 3701 patients discharged with MI without prior history of pneumonia. During follow-up, treatments with PPI, H2RA, and mucoprotective agents were collected as time-dependent variables based on the prescription records. We performed multivariate time-dependent Cox regression analyses for the development of post-MI pneumonia. During the mean 4.85 ± 3.75 years follow-up, 999 participants developed pneumonia. In the multivariate analyses (adjusted hazard ratio; 95% confidence interval), the risk for pneumonia was significantly increased in treatment with PPI (2.25; 1.57–3.21) and H2RA (1.50; 1.16–1.93). Meanwhile, the risk for pneumonia was not increased in treatment with mucoprotective agents. When we evaluated GI bleeding event according to the medications as a secondary outcome analysis, mucoprotective agents were associated with increased GI bleeding risk, but PPI and H2RA were not. In the use of the GI medications in the treatment of patients with MI, the influence of these drugs on bleeding and pneumonia should be considered.

1. Introduction

Myocardial infarction (MI) is a critical disease with consequences in mortality and morbidity worldwide [1]. Patients with MI generally tend to be elderly and have high burden of comorbid diseases, malnutrition, medications, and stress, which make the patients more susceptible to infectious complications [2,3,4]. Pneumonia is one of the post-MI infections which increase the risk of death and the cost of care after MI [5]. Therefore, identifying underlying risk factors of post-MI pneumonia is an important step towards preventing the patient groups with MI at high susceptibility to pneumonia.
In the patients with MI, acid-suppressive drugs such as proton pump inhibitors (PPI) and H2-receptor antagonists (H2RA) are commonly used regarding the high gastrointestinal (GI) bleeding risk with regular use of aspirin or other antithrombotic medications as standard treatment to MI [6]. However, these acid-suppressive medications may be implicated in the increased risk of infection by attenuating of gastric acid, a major defense mechanism against infectious agents, which predispose patients to pneumonia [7]. Prior studies have consistently showed a positive association between acid-suppressive drugs and pneumonia [8,9,10,11]. However, there are few data on whether treatment with acid-suppressive medications increased the risk for pneumonia in post-MI patients. Along with PPI and H2RA, mucoprotective agents are a common anti-ulcerative medication with little or no anti-acid properties [12]. Mucoprotective agents without anti-acid properties may not increase the risk for pneumonia [9]. To evaluate the effects of acid-suppressive medications and mucoprotective agents on the risk of pneumonia in MI patients, we conducted a retrospective cohort study using a nationwide population-based health claims database in Korea. We also analyzed the relationship between use of the anti-ulcerative medications and the risk of GI bleeding in the MI patients.

2. Materials and Methods

2.1. Data Source

We carried out a retrospective cohort study conducted using the National Health Insurance Service-National Sample Cohort (NHIS-NSC), performed by the NHIS, a single national insurance provider in Korea [13]. The data were constructed with 1,025,340 participants who were random sampling stratified by sex, age, and household income, maintaining a sampling rate of approximately 2.2% of the entire Korean population in 2002. The NHIS-NSC datasets contain the participants’ entire health claim data between 2002–2015 including hospital visits, procedures, diagnosis, prescriptions and demographics information, and death statistics based on the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). The data of NHIS-NSC were fully anonymized. The Institutional Review Board of Yongin Severance Hospital (9-2020-0106) approved the study and waived the requirement for informed consent regarding retrospective analysis using anonymized data.

2.2. Study Participants and Outcome

The study participants were patients aged >19 years who had admitted between 2002 and 2013 with a main diagnosis of MI (I21 in ICD-10) [14]. The primary outcome is defined as the development of pneumonia established based on the diagnostic code of ‘J10-J18’ after discharge [9,15,16]. To detect only patients with newly diagnosed pneumonia after MI as the outcome, patients who had been diagnosed with pneumonia prior to the discharge date of the index MI or who had less than a month of follow-up after discharge were excluded. A flow chart of the inclusion and exclusion criteria of participants is shown in Figure 1. From the date of discharge of index MI, the participants were followed up until the development of pneumonia, death, loss of eligibility for NHIS, or December 31, 2015 (whichever was earliest). As secondary outcomes, we evaluated the development of GI bleeding during follow-up. Development of GI bleeding events was defined as admission with the related diagnostic code of ‘K22.6, K25.0, K25.2, K25.4, K25.6, K26.0, K26.2, K26.4, K26.6, K27.0, K27.2, K27.4, K27.6, K28.0, K28.2, K28.4, K28.6, K29.0, K62.5, K92.0, K92.1, K92.2’ and receiving red blood cell transfusion during the admission [17].

2.3. Drug-Exposure Assessment

NHIS-NSC contains information on prescription drugs including drug name, drug code, date of prescription, daily dose, and period. We collected the prescription data of each patient for PPI (omeprazole, lansoprazole, ilaprazole, rabeprazole, pantoprazole, dexlansoprazole, and esomeprazole), H2RA (famotidine, ranitidine, lafutidine, cimetidine, roxatidine, and nizatidine), and mucoprotective agents (teprenone, rebamipide, ecabet, irsogladine, polaprezinc, sucralfate, misoprostol, and sofalcone). During follow-up period, exposures to PPI, H2RA, and mucoprotective agents were assessed every day after discharge date as time-dependent variables. For sub-analysis of PPI and H2RA intensity, PPI agents were further stratified into no use, low dose, or high dose by daily PPI dose. Low dose PPI were defined as up to ilaprazole 20 mg, omeprazole 20 mg, pantoprazole 40 mg, lansoprazole 30 mg, rabeprazole 20 mg, esomeprazole 30 mg, and dexlansoprazole 30 mg per day. Low dose H2RA were defined as up to cimetidine 800 mg, famotidine 40 mg, lafutidine 20 mg, nizatidine 300 mg, ranitidine 300 mg, and roxatidine 150 mg. The medications over the cut-off values of each agent per day were classified as a high dose PPI and high dose H2RA. The cut-off values were determined by the World Health Organization [18]. Treatment with antiplatelet and anticoagulant after MI was determined as exposure to antiplatelet and anticoagulant (oral and intravenous) within 30 days after MI admission.

2.4. Covariates

From the NHIS-NSC, we collected sex, age at MI admission, length of hospital stays at index MI, household income, treatment with antiplatelet and anticoagulant, and the presence of hypertension, diabetes mellitus, heart failure, stroke, chronic obstructive pulmonary disease, and prior history of GI bleeding as covariates potentially affecting the development of pneumonia. As a marker of severity and disability, length of hospital stays at index MI was classified into two groups (≤6 days, >6 days) according to median length of hospital stays following index MI. Hypertension (I10–15) [19], diabetes mellitus (E11–14) [20], heart failure (I50) [21], stroke (I60–64) [22] and chronic obstructive pulmonary disease (J42–44 (except for J43.0)) [23] were ascertained by the presence of diagnostic code before or during hospitalization for the index MI. Hypertension and diabetes mellitus were determined as relevant only if patients had received antihypertensive or antidiabetic medications at the time of diagnosis. Prior history of GI bleeding was defined as the presence of the related code before or at the discharge date of index MI.

2.5. Statistical Analyses

Continuous variables were described as mean ± standard deviation and categorical variables were described as numbers with percentages (%). For continuous variables, differences between groups were compared using independent t-test or analysis of variance test. For categorical variables, this comparison was made using chi-square test. As survival analyses, time-dependent Cox proportional hazard regression models were used to calculate hazard ratio (HR) and 95% confidence interval (CI) for the risk of pneumonia according to use of PPI, H2RA, and mucoprotective agents during follow-up periods, which were treated as time-dependent variables. Multivariate models were adjusted for sex, age, household income, length of hospital stays, and the presence of hypertension, diabetes mellitus, heart failure, stroke, chronic obstructive pulmonary disease, prior history of GI bleeding, treatment with antiplatelet and anticoagulant as time-fixed covariates. We additionally performed a sensitivity analysis according to PPI and H2RA intensity on the risk of pneumonia in MI patients. Linear trends between PPI/H2RA intensity and the risk of post MI pneumonia were evaluated by regarding the intensity groups as a continuous value (no use as 0, low dose as 1, and high dose as 2). As secondary outcome analysis, we evaluated the risk of GI bleeding events according to treatment with those agents during follow-up. The assumption of proportional hazards for PPI, H2RA, and mucoprotective agents in the Cox models were evaluated using a Grambsch-Therneau test of the scaled Schoenfeld residuals, which showed the proportional hazards assumption was satisfied. All statistical analyses were performed using the SAS 9.4 version (SAS Inc., Cary, NC, USA) and R software 3.4.4 version (The R Foundation for Statistical Computing, Vienna, Austria; http://www.R-project.org/ (accessed on 15 March 2021)). The statistically significant level for all tests was defined as two-sided p-value < 0.05.

3. Results

3.1. Baseline Characteristics

According to the inclusion and exclusion criteria, 3701 MI patients who were discharged without pneumonia were finally included (Figure 1). Baseline characteristics of the included patients are shown in Table 1. The median age was 62.01 ± 12.76 (mean ± standard deviation) years, and 2664 (71.98%) were male. The proportions of patients who received treatment with PPI, H2RA, and mucoprotective agents throughout 30 days after MI discharge were 12.46%, 21.32%, and 25.24% respectively.

3.2. Risk for Post-MI Pneumonia

During 4.85 ± 3.75 years of follow-up after index MI, 999 patients developed pneumonia (26.99%). To identify the independent risk factors for the development of post-MI pneumonia, we performed univariate and multivariate time-dependent Cox proportional hazard regression analyses (Table 2). In the multivariate model, use of PPI (adjusted HR; 95% CI, 2.25; 1.57–3.21, p < 0.001) and H2RA (adjusted HR; 95% CI, 1.50; 1.16–1.93, p = 0.002) were significantly associated with an increased risk for post-MI pneumonia. In contrast, we did not observe a significant association between use of mucoprotective agents and the risk for post-MI pneumonia (adjusted HR; 95% CI, 1.27; 0.98–1.64, p = 0.074). We additionally performed the risk of post-MI pneumonia according to PPI and H2RA intensity (Table S1). Compared with no PPI use, there was a significantly increased risk for post-MI pneumonia with low intensity of PPI. The risk for post-MI pneumonia increased with lower and higher dose of H2RA compared with no H2RA use.

3.3. Risk for Post-MI GI Bleeding

We performed analysis to assess the effect of those agents on the risk for GI bleeding among MI patients (Table 3). After index date of MI discharge, there were 100 patients (2.70%) who suffered GI bleeding event during follow-up. In the multivariate model for the GI bleeding after MI, we found that use of mucoprotective agents was associated with an increased risk for GI bleeding (adjusted HR; 95% CI, 2.92; 1.61–5.30, p < 0.001). There was no significant association between risk for GI bleeding and use of PPI and H2RA agents.

4. Discussion

This population-based cohort study investigated the risk of pneumonia according to the use of PPI, H2RA, and mucoprotective agents during the long-term follow-up period after MI. In the current study, the development of pneumonia was common after discharge from MI, wherein 27% of the included patients suffered from it. We documented that treatment with the acid-suppressive agents (PPI and H2RA) was significantly associated with an increased risk of post-MI pneumonia. On the other hand, use of mucoprotective agents was not associated with the risk of post-MI pneumonia.
Patients with prior cardiovascular disease including MI and stroke are frequently old and have concurrent illnesses, which predispose them to infectious disease [24,25]. With old age and a high burden of multiple comorbidities, patients with MI are likely to have physical deconditioning, cognitive impairment, derangement of hormonal system which may lead to an imbalance of anabolic–catabolic metabolism, resulting in malnutrition and immune suppression [26]. It has been well-established that concomitant diagnosis of prior cardiovascular disease is very common in patients with pneumonia [27,28]. Patients with comorbid cardiovascular disease are more likely have more severe pneumonia and long-term mortality after pneumonia [27,29,30]. Furthermore, pneumonia itself can increase risk for future development of cardiovascular event [31]. Regarding the high prevalence and adverse effect of pneumonia in the patients with MI, a better understanding of the pathophysiology may help to prevent the post-MI pneumonia, a potentially fatal complication and one of major health burden [28].
In general, MI patients need life-long antiplatelet therapy as secondary cardiovascular prevention. However, it is known that aspirin, the most widely used antiplatelet, is associated with a variety of GI side effects [5,32]. Along with aspirin, other antithrombotics are also involved in topical injury, depletion of prostaglandin from the gastric mucosa, which results in GI symptoms, epithelial damage in GI mucosa, and predisposition to bleeding [33,34,35]. For control and prevention of GI symptoms and bleeding, treatment with PPI or H2RA is widely used in patients with MI at the high-risk [36,37]. Despite the widespread use of PPI and H2RA, especially to patients with MI, there remains a concern that PPI and H2RA can increase the risk of pneumonia in patients [8,9,10,38]. PPI and H2RA agents protect GI by suppressing acid secretion, which attenuates the gastric acid barrier against pathogen invasion. There is much epidemiologic evidence supporting that concomitant use of PPI and H2RA increases the risk for oral, respiratory, and GI infections [39,40,41]. PPI undergoes principally hepatic metabolism by the cytochrome P4502C19 (CYP2C19), which is affected by genetic differences. A prior study reported that poor metabolizer, one of the genotypes variabilities of CYP2C19, had higher blood levels of PPI and higher intragastric pH, which may be linked to great risk for pneumonia development [42]. This might be particularly relevant for the Korean population which has a high incidence of poor metabolization. Regarding the consistent findings for the potential risk for pneumonia, it should be noted that unnecessarily prolonged use of the anti-acid medications can be harmful to the MI patients at high risk for pneumonia without proper indications. A recent coronavirus disease 2019 (COVID-19) study found that PPI usage increased the risk of severe outcomes (oxygen therapy, intensive care unit, invasive ventilation, or death) among COVID-19 patients [43]. Therefore, physicians need to be cautious in prescribing PPI to patients with COVID-19.
In this study, unlike PPI and H2RA, there was no significant association between use of mucoprotective agents and the risk of pneumonia. Mucoprotective agents are another class of gastroprotective agents by increasing prostaglandin levels, stimulating epidermal growth factor production, scavenging of hydroxyl radicals, and suppression of gastric mucosal inflammation rather than acid suppression [44,45,46]. Therefore, mucoprotective would be a practical option for patients who are at high risk of developing pneumonia.
However, in the secondary outcome analysis for post GI bleeding outcome, we found that the use of mucoprotective agents was associated with increased GI bleeding in MI patients. The paradoxical finding is expected because this is a retrospective observational study and mucoprotective agents are more likely to be prescribed to the patient groups considered at high risk of GI bleeding in clinical practice. We supposed that the unmeasured high GI bleeding risk in patients receiving mucoprotective agents led to more development of GI bleeding in the analysis; confounding effect rather than true effect of muco-protective agents inducing GI bleeding. Reducing mucosal injury with mucoprotective agents has been established in prior randomized trials [47,48]. The Korean cohort study found that misoprostol and rebamipide, along with PPI and H2RA, significantly reduced the risk of GI bleeding in nonsteroidal anti-inflammatory drug users for osteoarthritis or rheumatoid arthritis [49]. In the current study, use of other anti-ulcerative medications of PPI and H2RA did not have a significant association with post MI GI bleeding. These findings suggest that the GI protective effect of the mucopretective agent might be insufficient compared to the PPI and H2RA in the MI patients. Because PPI has been proved to be effective in prevention and treatment of upper GI bleeding, prescription of PPI is necessary to patients considered at high risk of GI bleeding and who have clear indications of PPI [50].
Based on the nation-wide health claims database, we performed a relatively long period of follow up (median 4.85 ± 3.75 years) for the development of pneumonia and identified the full drug prescriptions of the included patients. With the strength of the study, several potential limitations should be mentioned. First, with the limitation of retrospective observational design without interventions, we could not conclude the causal relationship between the medications and the risk of pneumonia. Further studies should be implemented to establish the effect of acid-suppressive agents and other gastroprotective agents on post-MI pneumonia. Second, we were unable to collect some genetic information and behavioral risk factors associated with susceptibility to pneumonia, such as smoking status and alcohol consumption due to the lack of data in the health claim database [51,52,53,54]. Although we identified whole medications by the prescription records of each patient in the NHIS database, there might be gap between the actual medications intake and prescriptions.

5. Conclusions

In conclusion, treatment with acid-suppressive agents such as PPI and H2RA is associated with an increased risk of post-MI pneumonia, whereas mucoprotective agents were not associated with the development of pneumonia. We did not find sufficient preventive effect of mucoprotective agents against GI bleeding after MI. When administering anti-ulcerative medications to MI patients at high risk of GI bleeding and pneumonia, clinicians should consider the underlying risks of each patient and the characteristics of the medications.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jpm12010078/s1, Table S1: Effect of proton pump inhibitor and H2-receptor antagonist on the risk for post-myocardial infarction pneumonia according to dose intensity.

Author Contributions

Conceptualization, J.K.; methodology, J.K.; software, J.J.; validation, J.K.; formal analysis, J.J.; data curation, J.J.; writing—original draft preparation, J.J. and J.K.; writing—review and editing, J.K.; visualization, J.J.; supervision, J.K.; funding acquisition, J.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (NRF-2020R1I1A1A01060447).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Yongin Severance Hospital (9-2020-0106).

Informed Consent Statement

Patient consent was waived due to retrospective analysis using anonymized data.

Data Availability Statement

The dataset (NHIS-NSC) presented in this study is released by the National Health Insurance Sharing Service (http://nhiss.nhis.or.kr/bd/ab/bdaba021eng.do, accessed on 15 November 2021). Access to the dataset is available after submitting a completed application form, research proposal, and approval document from the institutional review board and receiving approval by the inquiry committee of research support in National Health Insurance Sharing Service.

Acknowledgments

This study used the dataset of NHIS-NSC (NHIS-2020-2-039) created by the National Health Insurance Sharing Service.

Conflicts of Interest

The authors declare no conflict of interest. The sponsors had no role in the design, execution, interpretation, or writing of the study.

References

  1. Reed, G.W.; Rossi, J.E.; Cannon, C.P. Acute myocardial infarction. Lancet 2017, 389, 197–210. [Google Scholar] [CrossRef]
  2. Violi, F.; Cangemi, R.; Falcone, M.; Taliani, G.; Pieralli, F.; Vannucchi, V.; Nozzoli, C.; Venditti, M.; Chirinos, J.A.; Corrales-Medina, V.F.; et al. Cardiovascular Complications and Short-term Mortality Risk in Community-Acquired Pneumonia. Clin. Infect. Dis. 2017, 64, 1486–1493. [Google Scholar] [CrossRef] [PubMed]
  3. Raposeiras Roubín, S.; Abu Assi, E.; Cespón Fernandez, M.; Barreiro Pardal, C.; Lizancos Castro, A.; Parada, J.A.; Pérez, D.D.; Blanco Prieto, S.; Rossello, X.; Ibanez, B.; et al. Prevalence and Prognostic Significance of Malnutrition in Patients with Acute Coronary Syndrome. J. Am. Coll. Cardiol. 2020, 76, 828–840. [Google Scholar] [CrossRef]
  4. Cernea, S. Nutritional status and clinical outcomes of cardiac patients in acute settings. J. Cardiovasc. Emerg. 2018, 4, 5–7. [Google Scholar] [CrossRef] [Green Version]
  5. Baron, J.A.; Senn, S.; Voelker, M.; Lanas, A.; Laurora, I.; Thielemann, W.; Brückner, A.; McCarthy, D. Gastrointestinal adverse effects of short-term aspirin use: A meta-analysis of published randomized controlled trials. Drugs R D 2013, 13, 9–16. [Google Scholar] [CrossRef] [Green Version]
  6. Almufleh, A.; Ramirez, F.D.; So, D.; Le May, M.; Chong, A.Y.; Torabi, N.; Hibbert, B. H2 Receptor Antagonists versus Proton Pump Inhibitors in Patients on Dual Antiplatelet Therapy for Coronary Artery Disease: A Systematic Review. Cardiology 2018, 140, 115–123. [Google Scholar] [CrossRef]
  7. Eom, C.S.; Jeon, C.Y.; Lim, J.W.; Cho, E.G.; Park, S.M.; Lee, K.S. Use of acid-suppressive drugs and risk of pneumonia: A systematic review and meta-analysis. Cmaj 2011, 183, 310–319. [Google Scholar] [CrossRef] [Green Version]
  8. Ho, S.W.; Hsieh, M.J.; Yang, S.F.; Yeh, Y.T.; Wang, Y.H.; Yeh, C.B. Risk of Stroke-Associated Pneumonia with Acid-Suppressive Drugs: A Population-Based Cohort Study. Medicine 2015, 94, e1227. [Google Scholar] [CrossRef]
  9. Song, T.J.; Kim, J. Risk of post-stroke pneumonia with proton pump inhibitors, H2 receptor antagonists and mucoprotective agents: A retrospective nationwide cohort study. PLoS ONE 2019, 14, e0216750. [Google Scholar]
  10. Arai, N.; Nakamizo, T.; Ihara, H.; Koide, T.; Nakamura, A.; Tabuse, M.; Miyazaki, H. Histamine H2-Blocker and Proton Pump Inhibitor Use and the Risk of Pneumonia in Acute Stroke: A Retrospective Analysis on Susceptible Patients. PLoS ONE 2017, 12, e0169300. [Google Scholar] [CrossRef] [PubMed]
  11. Herzig, S.J.; Doughty, C.; Lahoti, S.; Marchina, S.; Sanan, N.; Feng, W.; Kumar, S. Acid-suppressive medication use in acute stroke and hospital-acquired pneumonia. Ann. Neurol. 2014, 76, 712–718. [Google Scholar] [CrossRef] [Green Version]
  12. Yu, S.Y.; Lee, B.; McGuire, T.M.; Lee, H.J.; Hollingworth, S.A. Consumption of medicines used for gastric acid-related disorders in Australia and South Korea: A cross-country comparison. Eur. J. Clin. Pharmacol. 2020, 76, 547–555. [Google Scholar] [CrossRef]
  13. Lee, J.; Lee, J.S.; Park, S.H.; Shin, S.A.; Kim, K. Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. Int. J. Epidemiol. 2017, 46, e15. [Google Scholar] [CrossRef]
  14. Kimm, H.; Yun, J.E.; Lee, S.H.; Jang, Y.; Jee, S.H. Validity of the diagnosis of acute myocardial infarction in korean national medical health insurance claims data: The korean heart study (1). Korean Circ. J. 2012, 42, 10–15. [Google Scholar] [CrossRef] [Green Version]
  15. Lee, J.-H.; Park, Y.H.; Kang, D.R.; Lee, S.J.; Lee, M.K.; Kim, S.-H.; Yong, S.J.; Lee, W.-Y. Risk of Pneumonia Associated with Inhaled Corticosteroid in Patients with Chronic Obstructive Pulmonary Disease: A Korean Population-Based Study. Int. J. Chronic Obstr. Pulm. Dis. 2020, 15, 3397–3406. [Google Scholar] [CrossRef]
  16. Jang, S.Y.; Cha, Y.; Yoo, J.I.; Yu, Y.T.; Kim, J.T.; Park, C.H.; Choy, W. Effect of Pneumonia on All-cause Mortality after Elderly Hip Fracture: A Korean Nationwide Cohort Study. J. Korean Med. Sci. 2020, 35, e9. [Google Scholar] [CrossRef] [PubMed]
  17. Park, J.; Kwon, S.; Choi, E.-K.; Choi, Y.-J.; Lee, E.; Choe, W.; Lee, S.-R.; Cha, M.-J.; Lim, W.-H.; Oh, S. Validation of diagnostic codes of major clinical outcomes in a National Health Insurance database. Int. J. Arrhythmia 2019, 20, 5. [Google Scholar] [CrossRef] [Green Version]
  18. World Health Organization. Defined Daily Dose (DDD). Available online: https://www.who.int/toolkits/atc-ddd-toolkit/about-ddd (accessed on 3 September 2021).
  19. Kim, H.N.; Han, K.; Song, S.W.; Lee, J.H. Hypertension and risk of psoriasis incidence: An 11-year nationwide population-based cohort study. PLoS ONE 2018, 13, e0202854. [Google Scholar] [CrossRef] [PubMed]
  20. Jung, C.H.; Chung, J.O.; Han, K.; Ko, S.H.; Ko, K.S.; Park, J.Y. Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: A nationwide study (2006–2013). Cardiovasc. Diabetol. 2017, 16, 1. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Lee, S.; Cho, G.J.; Park, G.U.; Kim, L.Y.; Lee, T.S.; Kim, D.Y.; Choi, S.W.; Youn, J.C.; Han, S.W.; Ryu, K.H.; et al. Incidence, Risk Factors, and Clinical Characteristics of Peripartum Cardiomyopathy in South Korea. Circ. Heart Fail. 2018, 11, e004134. [Google Scholar] [CrossRef] [PubMed]
  22. Kang, H.Y.; Lim, S.J.; Suh, H.S.; Liew, D. Estimating the lifetime economic burden of stroke according to the age of onset in South Korea: A cost of illness study. BMC Public Health 2011, 11, 646. [Google Scholar] [CrossRef] [Green Version]
  23. Kim, J.; Rhee, C.K.; Yoo, K.H.; Kim, Y.S.; Lee, S.W.; Park, Y.B.; Lee, J.H.; Oh, Y.; Lee, S.D.; Kim, Y.; et al. The health care burden of high grade chronic obstructive pulmonary disease in Korea: Analysis of the Korean Health Insurance Review and Assessment Service data. Int. J. Chronic Obstr. Pulm. Dis. 2013, 8, 561–568. [Google Scholar]
  24. Torres, A.; Blasi, F.; Dartois, N.; Akova, M. Which individuals are at increased risk of pneumococcal disease and why? Impact of COPD, asthma, smoking, diabetes, and/or chronic heart disease on community-acquired pneumonia and invasive pneumococcal disease. Thorax 2015, 70, 984–989. [Google Scholar] [CrossRef] [Green Version]
  25. Almirall, J.; Serra-Prat, M.; Bolíbar, I.; Balasso, V. Risk Factors for Community-Acquired Pneumonia in Adults: A Systematic Review of Observational Studies. Respiration 2017, 94, 299–311. [Google Scholar] [CrossRef]
  26. Komici, K.; Vitale, D.F.; Mancini, A.; Bencivenga, L.; Conte, M.; Provenzano, S.; Grieco, F.V.; Visaggi, L.; Ronga, I.; Cittadini, A.; et al. Impact of Malnutrition on Long-Term Mortality in Elderly Patients with Acute Myocardial Infarction. Nutrients 2019, 11, 224. [Google Scholar] [CrossRef] [Green Version]
  27. Sibila, O.; Mortensen, E.M.; Anzueto, A.; Laserna, E.; Restrepo, M.I. Prior cardiovascular disease increases long-term mortality in COPD patients with pneumonia. Eur. Respir. J. 2014, 43, 36–42. [Google Scholar] [CrossRef] [Green Version]
  28. Arias-Fernández, L.; Gil-Prieto, R.; Gil-de-Miguel, Á. Incidence, mortality, and lethality of hospitalizations for community-acquired pneumonia with comorbid cardiovascular disease in Spain (1997–2015). BMC Infect. Dis. 2020, 20, 477. [Google Scholar] [CrossRef]
  29. Waterer, G.W.; Kessler, L.A.; Wunderink, R.G. Medium-term survival after hospitalization with community-acquired pneumonia. Am. J. Respir. Crit. Care Med. 2004, 169, 910–914. [Google Scholar] [CrossRef]
  30. Yende, S.; Angus, D.C.; Ali, I.S.; Somes, G.; Newman, A.B.; Bauer, D.; Garcia, M.; Harris, T.B.; Kritchevsky, S.B. Influence of comorbid conditions on long-term mortality after pneumonia in older people. J. Am. Geriatr. Soc. 2007, 55, 518–525. [Google Scholar] [CrossRef]
  31. Dalager-Pedersen, M.; Søgaard, M.; Schønheyder, H.C.; Nielsen, H.; Thomsen, R.W. Risk for myocardial infarction and stroke after community-acquired bacteremia: A 20-year population-based cohort study. Circulation 2014, 129, 1387–1396. [Google Scholar] [CrossRef] [Green Version]
  32. Derry, S.; Loke, Y.K. Risk of gastrointestinal haemorrhage with long term use of aspirin: Meta-analysis. Bmj 2000, 321, 1183–1187. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Lichtenberger, L.M.; Zhou, Y.; Dial, E.J.; Raphael, R.M. NSAID injury to the gastrointestinal tract: Evidence that NSAIDs interact with phospholipids to weaken the hydrophobic surface barrier and induce the formation of unstable pores in membranes. J. Pharm. Pharmacol. 2006, 58, 1421–1428. [Google Scholar] [CrossRef] [PubMed]
  34. Sobieraj, D.M.; White, C.M.; Alikhanov, S.; Winkler, S.; Mediouni, M.; Kluger, J.; Coleman, C.I. The impact of antiplatelet and anticoagulant therapies on gastrointestinal symptoms in patients with atrial fibrillation: A systematic review. Ann. Pharmacother. 2012, 46, 1220–1231. [Google Scholar] [CrossRef] [PubMed]
  35. Tsai, T.J.; Lai, K.H.; Hsu, P.I.; Lin, C.K.; Chan, H.H.; Yu, H.C.; Wang, H.M.; Lin, K.H.; Wang, K.M.; Chang, S.N.; et al. Upper gastrointestinal lesions in patients receiving clopidogrel anti-platelet therapy. J. Formos. Med. Assoc. 2012, 111, 705–710. [Google Scholar] [CrossRef] [Green Version]
  36. Warlé-van Herwaarden, M.F.; Koffeman, A.R.; Valkhoff, V.E.; ’t Jong, G.W.; Kramers, C.; Sturkenboom, M.C.; De Smet, P.A. Time-trends in the prescribing of gastroprotective agents to primary care patients initiating low-dose aspirin or non-steroidal anti-inflammatory drugs: A population-based cohort study. Br. J. Clin. Pharmacol. 2015, 80, 589–598. [Google Scholar] [CrossRef] [Green Version]
  37. Nema, H.; Kato, M. Comparative study of therapeutic effects of PPI and H2RA on ulcers during continuous aspirin therapy. World J. Gastroenterol. 2010, 16, 5342–5346. [Google Scholar] [CrossRef]
  38. Marchina, S.; Doros, G.; Modak, J.; Helenius, J.; Aycock, D.M.; Kumar, S. Acid-suppressive medications and risk of pneumonia in acute stroke patients: A systematic review and meta-analysis. J. Neurol. Sci. 2019, 400, 122–128. [Google Scholar] [CrossRef]
  39. Howden, C.W.; Hunt, R.H. Relationship between gastric secretion and infection. Gut 1987, 28, 96–107. [Google Scholar] [CrossRef] [Green Version]
  40. Eurich, D.T.; Sadowski, C.A.; Simpson, S.H.; Marrie, T.J.; Majumdar, S.R. Recurrent community-acquired pneumonia in patients starting acid-suppressing drugs. Am. J. Med. 2010, 123, 47–53. [Google Scholar] [CrossRef]
  41. Laheij, R.J.; Sturkenboom, M.C.; Hassing, R.J.; Dieleman, J.; Stricker, B.H.; Jansen, J.B. Risk of community-acquired pneumonia and use of gastric acid-suppressive drugs. JAMA 2004, 292, 1955–1960. [Google Scholar] [CrossRef]
  42. Furuta, T.; Shirai, N.; Sugimoto, M.; Ohashi, K.; Ishizaki, T. Pharmacogenomics of proton pump inhibitors. Pharmacogenomics 2004, 5, 181–202. [Google Scholar] [CrossRef] [PubMed]
  43. Lee, S.W.; Ha, E.K.; Yeniova, A.; Moon, S.Y.; Kim, S.Y.; Koh, H.Y.; Yang, J.M.; Jeong, S.J.; Moon, S.J.; Cho, J.Y.; et al. Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: A nationwide cohort study with propensity score matching. Gut 2021, 70, 76–84. [Google Scholar] [CrossRef]
  44. Naito, Y.; Yoshikawa, T. Rebamipide: A gastrointestinal protective drug with pleiotropic activities. Expert Rev. Gastroenterol. Hepatol. 2010, 4, 261–270. [Google Scholar] [CrossRef]
  45. Suzuki, M.; Miura, S.; Mori, M.; Kai, A.; Suzuki, H.; Fukumura, D.; Suematsu, M.; Tsuchiya, M. Rebamipide, a novel antiulcer agent, attenuates Helicobacter pylori induced gastric mucosal cell injury associated with neutrophil derived oxidants. Gut 1994, 35, 1375–1378. [Google Scholar] [CrossRef] [Green Version]
  46. Haruma, K.; Ito, M. Review article: Clinical significance of mucosal-protective agents: Acid, inflammation, carcinogenesis and rebamipide. Aliment. Pharmacol. Ther. 2003, 18 (Suppl. S1), 153–159. [Google Scholar] [CrossRef]
  47. Niwa, Y.; Nakamura, M.; Ohmiya, N.; Maeda, O.; Ando, T.; Itoh, A.; Hirooka, Y.; Goto, H. Efficacy of rebamipide for diclofenac-induced small-intestinal mucosal injuries in healthy subjects: A prospective, randomized, double-blinded, placebo-controlled, cross-over study. J. Gastroenterol. 2008, 43, 270–276. [Google Scholar] [CrossRef]
  48. Watanabe, T.; Takeuchi, T.; Handa, O.; Sakata, Y.; Tanigawa, T.; Shiba, M.; Naito, Y.; Higuchi, K.; Fujimoto, K.; Yoshikawa, T.; et al. A multicenter, randomized, double-blind, placebo-controlled trial of high-dose rebamipide treatment for low-dose aspirin-induced moderate-to-severe small intestinal damage. PLoS ONE 2015, 10, e0122330. [Google Scholar] [CrossRef] [Green Version]
  49. Kim, T.J.; Kim, E.R.; Hong, S.N.; Kim, Y.H.; Lee, Y.C.; Kim, H.S.; Kim, K.; Chang, D.K. Effectiveness of acid suppressants and other mucoprotective agents in reducing the risk of occult gastrointestinal bleeding in nonsteroidal anti-inflammatory drug users. Sci. Rep. 2019, 9, 11696. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Abraham, N.S.; Hlatky, M.A.; Antman, E.M.; Bhatt, D.L.; Bjorkman, D.J.; Clark, C.B.; Furberg, C.D.; Johnson, D.A.; Kahi, C.J.; Laine, L.; et al. ACCF/ACG/AHA 2010 Expert Consensus Document on the concomitant use of proton pump inhibitors and thienopyridines: A focused update of the ACCF/ACG/AHA 2008 expert consensus document on reducing the gastrointestinal risks of antiplatelet therapy and NSAID use: A report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. Circulation 2010, 122, 2619–2633. [Google Scholar]
  51. Ferrer Agüero, J.M.; Millán, S.; Rodríguez de Castro, F.; Martín-Loeches, I.; Solé Violán, J. Community acquired pneumonia: Genetic variants influencing systemic inflammation. Med. Intensiva 2014, 38, 315–323. [Google Scholar] [CrossRef] [PubMed]
  52. Garcia-Laorden, M.I.; Sole-Violan, J.; Rodriguez de Castro, F.; Aspa, J.; Briones, M.L.; Garcia-Saavedra, A.; Rajas, O.; Blanquer, J.; Caballero-Hidalgo, A.; Marcos-Ramos, J.A.; et al. Mannose-binding lectin and mannose-binding lectin-associated serine protease 2 in susceptibility, severity, and outcome of pneumonia in adults. J. Allergy Clin. Immunol. 2008, 122, 368–374. [Google Scholar] [CrossRef] [PubMed]
  53. García-Laorden, M.I.; Rodríguez de Castro, F.; Solé-Violán, J.; Rajas, O.; Blanquer, J.; Borderías, L.; Aspa, J.; Briones, M.L.; Saavedra, P.; Marcos-Ramos, J.A.; et al. Influence of genetic variability at the surfactant proteins A and D in community-acquired pneumonia: A prospective, observational, genetic study. Crit. Care 2011, 15, R57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Yende, S.; Angus, D.C.; Ding, J.; Newman, A.B.; Kellum, J.A.; Li, R.; Ferrell, R.E.; Zmuda, J.; Kritchevsky, S.B.; Harris, T.B.; et al. 4G/5G plasminogen activator inhibitor-1 polymorphisms and haplotypes are associated with pneumonia. Am. J. Respir. Crit. Care Med. 2007, 176, 1129–1137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Jpm 12 00078 g001 550
Figure 1. Flowchart of included patients. NHIS-NSC, National Health Insurance Service national sample cohort.
Figure 1. Flowchart of included patients. NHIS-NSC, National Health Insurance Service national sample cohort.
Jpm 12 00078 g001
Table
Table 1. Baseline characteristics of included patients.
Table 1. Baseline characteristics of included patients.
VariableValue
Total number of patients3701
Sex, male2664 (71.98)
Age, years62.01 ± 12.76
Hypertension2833 (76.55)
Diabetes mellitus1118 (30.21)
Heart failure813 (21.97)
Stroke657 (17.75)
Chronic obstructive pulmonary disease903 (24.40)
Prior history of gastrointestinal bleeding459 (12.40)
Household income
low1386 (37.45)
middle1178 (31.83)
high1137 (30.72)
Length of hospital stays
≤6 days2059 (55.63)
>6 days1642 (44.37)
Treatment within 30 days after MI
Antiplatelet3598 (97.22)
Anticoagulant3409 (92.11)
Data are number (%) or mean ± standard deviation. MI, myocardial infarction.
Table
Table 2. Risk factors for the development of post-myocardial infarction pneumonia.
Table 2. Risk factors for the development of post-myocardial infarction pneumonia.
VariableUnadjusted HR (95% CI)p ValueAdjusted HR (95% CI)p Value
Sex, male0.63 (0.55–0.72)<0.0011.14 (0.99–1.32)0.070
Age, years1.06 (1.05–1.06)<0.0011.04 (1.03–1.05)<0.001
Hypertension1.73 (1.46–2.04)<0.0011.24 (1.04–1.47)0.016
Diabetes mellitus1.54 (1.35–1.75)<0.0011.33 (1.17–1.52)<0.001
Heart failure2.00 (1.74–2.30)<0.0011.39 (1.20–1.60)<0.001
Chronic obstructive pulmonary disease2.61 [2.29–2.97)<0.0011.66 (1.45–1.91)<0.001
Stroke2.40 [2.08–2.76)<0.0011.47 (1.27–1.71)<0.001
Prior history of gastrointestinal bleeding1.79 (1.51–2.14)<0.0011.36 (1.14–1.63)<0.001
Household income
low1 (ref)-1 (ref)-
middle1.08 (0.93–1.25)0.3411.04 (0.89–1.21)0.652
high1.08 (0.93–1.26)0.3260.94 (0.80–1.09)0.402
Length of hospital stays
≤6 days1 (ref)-1 (ref)-
>6 days1.39 (1.23–1.58)<0.0011.07 (0.94–1.22)0.312
Treatment within 30 days after MI
Antiplatelet1.21 (0.84–1.75)0.2971.22 (0.81–1.83)0.347
Anticoagulant0.79 (0.65–0.97)0.0230.76 (0.60–0.94)0.014
Anti-ulcerative medication
Proton pump inhibitor3.18 (2.24–4.53)<0.0012.25 (1.57–3.21)<0.001
H2-receptor antagonist2.06 (1.62–2.62)<0.0011.50 (1.16–1.93)0.002
Mucoprotective agent1.86 (1.47–2.37)<0.0011.27 (0.98–1.64)0.074
Data were obtained from multivariate time-dependent Cox proportional hazard regression model. Adjustments were made to the variables listed in this table. Abbreviations: HR, hazard ratio; CI, confidence interval; MI, myocardial infarction.
Table
Table 3. Risk for gastrointestinal bleeding according to the use of anti-ulcerative medications after myocardial infarction.
Table 3. Risk for gastrointestinal bleeding according to the use of anti-ulcerative medications after myocardial infarction.
VariableUnadjusted HR (95% CI)p ValueAdjusted HR (95% CI)p Value
Proton pump inhibitor2.87 (1.04–7.94)0.0421.87 (0.67–5.22)0.233
H2-receptor antagonist1.90 (0.92–3.93)0.0821.07 (0.50–2.32)0.858
Mucoprotective agent3.53 (2.03–6.16)<0.0012.92 (1.61–5.30)<0.001
Data were obtained from multivariate time-dependent Cox proportional hazard regression model for gastrointestinal bleeding after myocardial infarction. Adjustments were made to the same variables listed in the Table 2. Abbreviations: HR, hazard ratio; CI, confidence interval; MI, myocardial infarction.
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Jeon, J.; Kim, J. Risk of Post-Myocardial Infarction Pneumonia with Proton Pump Inhibitors, H2 Receptor Antagonists and Mucoprotective Agents: A Retrospective Nationwide Cohort Study. J. Pers. Med. 2022, 12, 78. https://doi.org/10.3390/jpm12010078

AMA Style

Jeon J, Kim J. Risk of Post-Myocardial Infarction Pneumonia with Proton Pump Inhibitors, H2 Receptor Antagonists and Mucoprotective Agents: A Retrospective Nationwide Cohort Study. Journal of Personalized Medicine. 2022; 12(1):78. https://doi.org/10.3390/jpm12010078

Chicago/Turabian Style

Jeon, Jimin, and Jinkwon Kim. 2022. "Risk of Post-Myocardial Infarction Pneumonia with Proton Pump Inhibitors, H2 Receptor Antagonists and Mucoprotective Agents: A Retrospective Nationwide Cohort Study" Journal of Personalized Medicine 12, no. 1: 78. https://doi.org/10.3390/jpm12010078

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